• DocumentCode
    1851380
  • Title

    Spiking Neural P Systems for Arithmetic Operations

  • Author

    Zeng, Xiangxiang ; Song, Tao ; Pan, Linqiang ; Zhang, Xingyi

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    27-29 Sept. 2011
  • Firstpage
    296
  • Lastpage
    301
  • Abstract
    Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.
  • Keywords
    biocomputing; digital arithmetic; neural nets; arithmetic operations; binary encoding mechanism; bioinspired computing devices; electronic circuits; input neuron spikes; output neuron spikes; spiking neural P systems; Adders; Computational modeling; Educational institutions; Encoding; Generators; Neurons; Tin; arithmetic operation; membrane computing; spiking neural P system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4577-1092-6
  • Type

    conf

  • DOI
    10.1109/BIC-TA.2011.42
  • Filename
    6046916